detectnorm
Detect Nonnormality in Meta-Analysis without Raw Data
Non-normality could greatly distort the meta-analytic results, according to the simulation in Sun and Cheung (2020) doi:10.3758/s13428-019-01334-x. This package aims to detect non-normality for two independent groups with only limited descriptive statistics, including mean, standard deviation, minimum, and maximum.
- Version1.0.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release07/16/2022
Documentation
Team
Rongwei Sun
Shu Fai Cheung
Insights
Last 30 days
This package has been downloaded 207 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 23 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,553 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 16, 2024 with 25 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports5 packages
- Suggests4 packages